448 citations · 658 across the 19 of their papers we have counts for
20 papers
Comparing and Modeling Argumentation in German Political Communication across Arenas
Nina Vikhrova, Johannes Kühling, Sebastian Haunss +1
Deliberation, involving the formulation and exchange of arguments, forms an integral part of political decision making in democracies. Argumentation patterns however differ substan…
Adverbs, Surprisingly
Dmitry Nikolaev, Collin F. Baker, Miriam R. L. Petruck +1
This paper begins with the premise that adverbs are neglected in computational linguistics. This view derives from two analyses: a literature review and a novel adverb dataset to p…
Additive manifesto decomposition: A policy domain aware method for understanding party positioning
Tanise Ceron, Dmitry Nikolaev, Sebastian Padó
Automatic extraction of party (dis)similarities from texts such as party election manifestos or parliamentary speeches plays an increasing role in computational political science.…
Representation biases in sentence transformers
Dmitry Nikolaev, Sebastian Padó
Variants of the BERT architecture specialised for producing full-sentence representations often achieve better performance on downstream tasks than sentence embeddings extracted fr…
Optimizing text representations to capture (dis)similarity between political parties
Tanise Ceron, Nico Blokker, Sebastian Padó
Even though fine-tuned neural language models have been pivotal in enabling "deep" automatic text analysis, optimizing text representations for specific applications remains a cruc…
Understanding the Relation of User and News Representations in Content-Based Neural News Recommendation
Lucas Möller, Sebastian Padó
A number of models for neural content-based news recommendation have been proposed. However, there is limited understanding of the relative importances of the three main components…
Word-order typology in Multilingual BERT: A case study in subordinate-clause detection
Dmitry Nikolaev, Sebastian Padó
The capabilities and limitations of BERT and similar models are still unclear when it comes to learning syntactic abstractions, in particular across languages. In this paper, we us…
Meta Learning for Code Summarization
Moiz Rauf, Sebastian Padó, Michael Pradel
Source code summarization is the task of generating a high-level natural language description for a segment of programming language code. Current neural models for the task differ…
Between welcome culture and border fence. A dataset on the European refugee crisis in German newspaper reports
Nico Blokker, André Blessing, Erenay Dayanik +3
Newspaper reports provide a rich source of information on the unfolding of public debate on specific policy fields that can serve as basis for inquiry in political science. Such de…
Multi-Task Learning with Sentiment, Emotion, and Target Detection to Recognize Hate Speech and Offensive Language
Flor Miriam Plaza-del-Arco, Sercan Halat, Sebastian Padó +1
The recognition of hate speech and offensive language (HOF) is commonly formulated as a classification task to decide if a text contains HOF. We investigate whether HOF detection c…
Constraining Linear-chain CRFs to Regular Languages
Sean Papay, Roman Klinger, Sebastian Padó
A major challenge in structured prediction is to represent the interdependencies within output structures. When outputs are structured as sequences, linear-chain conditional random…
Emotion Ratings: How Intensity, Annotation Confidence and Agreements are Entangled
Enrica Troiano, Sebastian Padó, Roman Klinger
When humans judge the affective content of texts, they also implicitly assess the correctness of such judgment, that is, their confidence. We hypothesize that people's (in)confiden…
Dissecting Span Identification Tasks with Performance Prediction
Sean Papay, Roman Klinger, Sebastian Padó
Span identification (in short, span ID) tasks such as chunking, NER, or code-switching detection, ask models to identify and classify relevant spans in a text. Despite being a stap…
SemEval-2010 Task 8: Multi-Way Classification of Semantic Relations Between Pairs of Nominals
Iris Hendrickx, Su Nam Kim, Zornitsa Kozareva +6
In response to the continuing research interest in computational semantic analysis, we have proposed a new task for SemEval-2010: multi-way classification of mutually exclusive sem…
Distributional Analysis of Polysemous Function Words
Sebastian Pado, Daniel Hole
In this paper, we are concerned with the phenomenon of function word polysemy. We adopt the framework of distributional semantics, which characterizes word meaning by observing occ…
Crowdsourcing and Validating Event-focused Emotion Corpora for German and English
Enrica Troiano, Sebastian Padó, Roman Klinger
Sentiment analysis has a range of corpora available across multiple languages. For emotion analysis, the situation is more limited, which hinders potential research on cross-lingua…
Instantiation
Abhijeet Gupta, Gemma Boleda, Sebastian Pado
In computational linguistics, a large body of work exists on distributed modeling of lexical relations, focussing largely on lexical relations such as hypernymy (scientist -- perso…
Living a discrete life in a continuous world: Reference with distributed representations
Gemma Boleda, Sebastian Padó, Nghia The Pham +1
Reference is a crucial property of language that allows us to connect linguistic expressions to the world. Modeling it requires handling both continuous and discrete aspects of mea…
"Show me the cup": Reference with Continuous Representations
Gemma Boleda, Sebastian Padó, Marco Baroni
One of the most basic functions of language is to refer to objects in a shared scene. Modeling reference with continuous representations is challenging because it requires individu…
Cross-lingual Annotation Projection for Semantic Roles
Sebastian Pado, Mirella Lapata
This article considers the task of automatically inducing role-semantic annotations in the FrameNet paradigm for new languages. We propose a general framework that is based on anno…